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This trend also applies to enterprise architecture (EA) research. In contrast to its neighboring disciplines, such as business process management, EA lacks proper guidelines, patterns, and best practices to create high-quality EA models. A currently limiting factor for conducting AI-based research to bridge these gaps is the scarcity of openly available models of adequate quality and quantity. With this paper, our aim is to address this limitation by introducing the extended\n                    <jats:italic>EA ModelSet<\/jats:italic>\n                    , a curated and FAIR repository of enterprise architecture models represented in the ArchiMate modeling language that can be used by the research and practitioner community. We report on our efforts to build the EA ModelSet and elaborate on exemplary future empirical and ML-based research that can facilitate the dataset. We hope that this paper sparks a community effort toward the further development and maintenance of the EA ModelSet.\n                  <\/jats:p>","DOI":"10.1007\/s10270-025-01278-1","type":"journal-article","created":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T01:37:38Z","timestamp":1740533858000},"page":"659-677","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["The extended EA ModelSet\u2014a FAIR dataset for researching and reasoning enterprise architecture modeling practices"],"prefix":"10.1007","volume":"25","author":[{"given":"Philipp-Lorenz","family":"Glaser","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emanuel","family":"Sallinger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8259-2297","authenticated-orcid":false,"given":"Dominik","family":"Bork","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,26]]},"reference":[{"key":"1278_CR1","doi-asserted-by":"crossref","unstructured":"Abdelnabi, E.A., Maatuk, A.M., Hagal, M.: Generating uml class diagram from natural language requirements: a survey of approaches and techniques. 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